Urban and Regional Planning Asst Prof at UMich; Had migrated slowly to LinkedIn for Social Media. https://xitter.cf/t.co/yfEh6Jzyzo
Ann Arbor, MI
Joined April 2015
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Xiaofan Liang retweeted
Highways originally built to connect actually separate people at short spatial scales. We quantify this effect for the first time ever using urban social networks of the top 50 metropolitan areas of the US. pnas.org/doi/10.1073/pnas.24…
Image credit Karo Berghuber (@kariot.lines)
🎉 New publication in PNAS: Urban highways are barriers to social ties
pnas.org/doi/10.1073/pnas.24…
We illustrate from numerous aspects that highways are physical barriers that cut opportunities for social connections — in the 50 largest metropolitan areas in the US.
Great opportunity!!
📣Please RT!
I'm recruiting a PhD student @nyutandon to explore the social & economic impacts of urban infrastructure using complex systems & behavioral data-driven approaches.
Pls reach out if you're passionate about cities, systems, & data!
Details: takayabe.net/members
Xiaofan Liang retweeted
My research lab @UChicago is hiring a full-time Data Scientist for the millionneighborhoods.africa and other urban science projects.
Advanced programing skills in python/R + experience with large geospatial data necessary.
Please apply @ tinyurl.com/3y4nur3t
Xiaofan Liang retweeted
New study by @januebl, @smnlbg & Hawzheen Hamad finds that digital information and communication technologies exacerbates socio-spatial inequality in cities as #neighbourhoods with low #SocialCapital are less likely to reap the benefits of the #DigitalAge
ow.ly/7csU50TNm4j
ALT Screenshot of article info including DOI, title, authors, abstract and keywords
Are you interested in:
🌟Urban Networks & Social Inclusion
🌟AI & Data Governance in Cities
🌟Participatory and Critical Data Methods
Please apply to @TaubmanCollege Urban and Regional Planning PhD program this admission cycle and work with me! More at xiaofanliang.com/workwithme/
Very important and creative story of getting data when data are not available!
NEW INVESTIGATION:
Uber and Lyft locked drivers out of work to game a NYC minimum wage law. We crowdsourced screenshots, monitored surge pricing and ran financial models to reveal the devastating impact on drivers. w/ @natlungfy @A_W_Gordon @DeniseDSLu
bloomberg.com/graphics/2024-…
Xiaofan Liang retweeted
University of Michigan has an open assistant professor position in Complex Systems. Amazing opportunity to do join an interdisciplinary community of faculty and students. Looking for discipline thinkers who transcend disciplines. lsa.umich.edu/cscs/news-even…
👏
Today, Mozilla is releasing a new vision for Public AI
We’re making a big push to promote public goods, public orientation, and public use throughout every step of AI development and deployment 🧵
blog.mozilla.org/en/mozilla/…
Xiaofan Liang retweeted
New Study: #ChatGPT's Impact on #PublicKnowledge Sharing
A @CSHVienna study reveals a 25% drop in #StackOverflow activity after ChatGPT's release. This shift raises concerns about #AI's effect on public data, future #LLM training, and the balance between open knowledge & private AI systems.
The study, by @RMaria_drc, Nadzeya Laurentsyeva, and @johannes_wachs, was published in @PNASNexus and is available online.
👉csh.ac.at/news/study-reveals…
Xiaofan Liang retweeted
We're hiring a postdoc in the &-Lab at @NUnetsi!
Looking for a curious, collaborative scholar to work on computational social science questions, at the intersection of data justice + network science. Applications ongoing, interviews ~late Sep/early Oct
northeastern.wd1.myworkdayjo…
Xiaofan Liang retweeted
📢 Job Alert: #Geography at Texas A&M invites applications for an Instructional Assistant Professor in #GIS & Technology. Review begins on Sept 15 2024. Please share and RT. Thanks in advance! Join us, and let’s do something #geospatial 🌎For more apply.interfolio.com/149559
Good opportunity for students interested in networks 😍
NEW VACANCY: CASA is recruiting a part-time (3 days a week) Research Assistant/Fellow, experienced in Python, for two projects: one focused on spatial networks in developing countries, the other focused on economic networks.
Learn more and apply: ucl.ac.uk/work-at-ucl/search…
Xiaofan Liang retweeted
This 2-year project in Savannah got us thinking about how neighborhoods live with and respond to changes in property safety~~thanks to Xiaofan for leading it and to Housing Services at @cityofsavannah, as well as @pingeorgia and @GaTech_Planning.
New paper with @Friendly_Cities! Lessons from a Human-in-the-Loop Machine Learning Approach for Identifying Vacant, Abandoned, and Deteriorated Properties in Savannah, Georgia journals.sagepub.com/doi/10.…
We found interesting difference between human vs. machine generated results👇
New paper with @Friendly_Cities! Lessons from a Human-in-the-Loop Machine Learning Approach for Identifying Vacant, Abandoned, and Deteriorated Properties in Savannah, Georgia journals.sagepub.com/doi/10.…
We found interesting difference between human vs. machine generated results👇
HITLML is good for cities that lack an unbiased, large-scale VAD dataset for ML, are ready to maintain and upgrade their digital infrastructures, and seek an alternative approach to evaluate their existing workflow. The HITLML only requires a small training sample for predictions